Genomics-enhanced contact tracing enabled the characterization of SARS-CoV-2 transmission chains and infection contexts in the general population during community transmission

Johannes Ptok(Düsseldorf University Hospital), Jonas Weber(Heinrich Heine University Düsseldorf), Moritz Pigulla(Gesundheitsamt), C. Röhl(Gesundheitsamt), Nils Lüschow(Heinrich Heine University Düsseldorf), Dirk Nagels(Gesundheitsamt), Torsten Houwaart(Heinrich Heine University Düsseldorf), Samir Belhaj(Gesundheitsamt), L. Schneider(Gesundheitsamt), Dominik Regorz(Gesundheitsamt), Pascal Kreuzer(Gesundheitsamt), Yara Fröhlich(Gesundheitsamt), Patrick Finzer(Heinrich Heine University Düsseldorf), Emran Tawalbeh(Gesundheitsamt), Jessica Nicolai(Heinrich Heine University Düsseldorf), Mygg Stiller, Jacqueline Blum, Christian E. Lange, Roland Geisel, Daniel Wind(Heinrich Heine University Düsseldorf), Lisanna Hülse(Heinrich Heine University Düsseldorf), Alona Tysha(Heinrich Heine University Düsseldorf), Tobias Wienemann(Heinrich Heine University Düsseldorf), Malte Kohns Vasconcelos(Universität Hamburg), Katrin Hoffmann, Nadine Lübke(Düsseldorf University Hospital), Sandra Hauka(Düsseldorf University Hospital), Klaus Pfeffer(Heinrich Heine University Düsseldorf), Jörg Timm(Düsseldorf University Hospital), Lutz Ehlkes(Gesundheitsamt), Andreas Walker(Düsseldorf University Hospital), Alexander Dilthey(Heinrich Heine University Düsseldorf)
medRxiv
June 16, 2025
Cited by 0Open Access
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Abstract

Abstract Understanding pathogen transmission is key to effective infection prevention. From February to December 2021, we implemented genomics-enhanced contact tracing for SARS-CoV-2 in Düsseldorf, Germany, integrating data on 32,380 cases, 49,906 contact tracing records, 162 outbreaks, and 8,028 viral genomes (sequencing coverage 24.5%). Combining epidemiological and genetic data, we found a putative infection source for 19% of sequenced and 44% of all cases. Household-associated transmission accounted for up to 40% of all cases; classical contact tracing had limited sensitivity for non-household contacts, and gastronomy, hospital, school and kindergarten contexts were genetically found to be likely enriched for undetected transmissions. Outbreaks were associated with 8% of cases; school, kindergarten and nightlife outbreaks were strongly connected to the community, with nightlife outbreaks showing a strong post-outbreak increase in genetically associated cases. Sequencing detected previously unrecognized links between school outbreaks and 18% additional outbreak-associated sequenced cases. In conclusion, in addition to classical contact tracing, SARS-CoV-2 sequencing was required to achieve an improved resolution of transmission dynamics; future implementations of genomics-enhanced contact tracing should aim for sequencing rates of at least 15% to enable effective characterization of infection contexts and outbreaks.


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